What if your most valuable asset isn’t your home, your savings, or your investments—but your data? In this eye-opening conversation, David Lykken sits down with innovators Pavan Agarwal and Damon Burrows to unpack how breakthroughs in AI, blockchain, and medical imaging are reshaping the global economy. From owning your medical records to securely storing and licensing your data through digital wallets, this episode reveals a future where individuals—not big tech—control and profit from their personal information. As healthcare, finance, and technology converge, the idea of “data as income” is no longer theoretical—it’s quickly becoming reality.
[David] Listeners, we’re back with Pavan and some new developments in the medical field. You go like, okay, what does that have to do with mortgages? We’re looking always at innovation, what’s going on? And one of the things I enjoy about Pavan, he’s always looking over the rise and at what is the next big thing and many areas of life. And so Pavan, good to have you here and we have joining us. One of your dear friends, if you would introduce our good. Guest and friend Damon. That would be awesome. Pavan.
[Pavan] Yeah. So you all meet Damon Burrows. He is incredible. He’s got over a hundred, maybe 200 patents in his company that he built from scratch And they’re all around medical devices being able to do these micro catheters for fixing your arteries and your eyes and your heart and so forth. And he is got these incredible CT scan machines that can get down to 1/10 of a millimeter. Right? So I mean, that’s like what, a 10th of a hair or something or even smaller.
[David] That takes it for all style television into, you know, the finest oled tv. You could find that Exactly. That is the best analogy.
[Pavan] Exactly. So they could, so now with the, and these devices are like one fourth or one fifth, the cost and, and one fourth the radiation, so it’s better for you is cheaper, they’re mobile, so like this is perfect for the military. They could be advanced CT scan machine right on the field and of course, what makes it all possible is the way that the CT scan machine works. It’s all AI driven, and that’s how I was able to see that level of resolution. So you could see the most minute, you know, vascular structures and most minute neural structures in your body and find and fix it. Okay. So now what does that all have to do with mortgage banking? well first of all, first of all, it does affect reverse mortgages ’cause people are gonna live longer now
[David] There you go. That’s a good way to look at it. Yep, that’s absolutely the case. But, well, one, some little background Damon, you, you were the chief legal counsel for a major pharmaceutical, were you not?
[Damon] I used to be chief regulatory counsel for a company called Allergan. Yeah. Maker of Botox and breast implants and one of the largest ophthalmology companies in the world at the time, and then we sold the company about 10 years ago to activists who renamed it Allergan. So, yeah, I’ve, I’ve definitely been in, in the large pharmaceutical space, but since then. I turned my efforts a little bit more entrepreneurial and, a lot more disruptive, which is where my paths crossed with Pavon somewhere along the way.
[David] Well, you guys are doing some innovative things, but we have to give a shout out to your wife. Katrina, she is amazing. I actually met you, the two of you at Pavan’s Christmas party there in Puerto Rico in December, and it was just an amazing event as all of Pavan’s events are. And oh my gosh, I just fell in love with your wife. She’s just an amazing high energy person and so I wish we could have her on here. We have to do that at some point in time. I really wanna focus in on this Pavan when you guys, and, I think you guys collaborated and put together these notes, but let’s describe the current problem. Let’s start with where the current problem is.
[Pavan] Well, there’s a lot of problems. I mean, we could talk about the CT scan problem, they’re not available.
[David] I think that’s probably the best place. ’cause that’s a lot of what, I mean, there’s so many things you guys got both have got going, right. But let’s focus in on that because it, and then I’m always relating it back to our audience Pavan, metaphorically. How is it that innovation is coming in and transforming the medical industry as what you and Damon are doing together?
[Pavan] Yeah, so let me, let me, I’m gonna go backwards on this a little bit. Okay. So I’m gonna start with how this technology is going to increase home ownership, so, you know, like, you know, first obviously better medical equipment, better medical care, increases life expectancy. But here’s what we’re doing together, what Damon and I are doing together is this technology will actually print money every single month for its customers.
[David] And who are, who are their customers by the way?
[Pavan] Just mainstream America. Every everyday people. Okay. Alright. And, and here’s what happens is. Here’s what’s happening in the world is salaries have remained stagnant. Jobs have remained flat, and unemployment is rising and we’re expecting a week on unemployment report this week, and inflation’s going up. Housing prices have actually stopped rising because of affordability problems, right? and then we’ve got AI looming here, which is threatening to further squeeze the labor markets. And big tech is not telling everyone how to make money in the AI world, right? Because if you and I understood if everyone listening to this really understood where the real money is in this, in the AI world, okay? Big tech will be out of money, okay? And the real money is in your data. So every time you go visit the doctor, every time you get a CT scan, every time you get blood work, right? all that data right is you should keep that and license that out. So people’s income.
[David] So that where blockchain intersects with this conversation?
[Pavan] That’s where blockchain intersects Exactly. But the future income, the future of income is you leasing out your data. Not giving away your data. Like right now, when you use Google, when you use ChatGPT or Facebook, we were talking about that before, giving them the data and over and over again. I think, you know, what’s the guy from Larry Ellison from Oracle was just talking about this. He’s like all the models are the same now ’cause all the data’s the same. He, he’s, he’s basically saying, Hey, if the company that figures out how to get new, original clean data is the company that’s gonna win. and that means there’s a massive premium on your data and, and yet none of us are collecting it, tracking it, and worst yet we’re all giving it away for free.
[David] So Damon, jump in on this conversation that we’re having.
[Damon] Yeah. So that’s precisely the problem is the way that we’ve built the tech economy is taking people’s data essentially for free by making them widely available and then monetizing that data based on their preferences. But because of the incredibly common large language models that are now pervasive, it’s very clear to see what’s gonna happen. You’re gonna have these incredibly sophisticated, large language models about which you do not want them to have your private data. And I saw Mr. Ellison say the same about private data. Everything’s trained on public data, but private data is really an untapped resource and it’s an untapped resource that really is an opportunity to do something very special and different. Because unlike a lot of other kinds of data, like consumer behavioral data, medical healthcare data has not been consolidated in any large sub substantial amount that it could be monetized. And we think that’s a very, not only exciting opportunity for individuals, but it’s a very exciting premise for research. Having access to medical information, especially high definition, volumetric image, imaging information like we have, we think could be the cornerstone of being able to monetize individual data throughout the world. So it’s a very important play, not just for individuals, but for governments, sovereigns, and systems.
[David] Yeah. A lot of this really gets into, uh, privacy issues where we have a privacy crisis. You could almost say, or is that correct?
[Damon] Well, that’s right. So essentially if you, if you put something into large language models, that information can be taken use and either appropriately or inappropriately, but you’re outta control, and especially as it relates to healthcare data. Pavan figured this out on the consumer side. You have to have the highest levels of security. You do not want that data exposed on the consumer financing side because that’s your health, that’s your individual personal information. Right. Your financial data. Yeah.
[David] Which is now same, which is the same as your medical records. I mean, you do not want that out there to be, I mean, I’m sitting there, I just gave, I just have blood drawn for another medical test this morning, and I was thinking about that as Pavan talking. I’m going, dang, where did that data go? Who has that data? But how do we start securing that? How do we start owning it and getting into a blockchain?
[Damon] So that’s, that’s the genius of Pav. I’ll let Pavon explain what, what he and his team have developed, which is amazing.
[Pavan] And that’s where we come and that’s where Angel AI comes in, is what we do with Angel ai, is we have a built in Angel wallet. Okay? So it’s on chain, on the Ethereum chain globally. Accepted blockchain. With that you secure the data on your wallet. So, so what we are doing is integrating, like say with Damon’s CAT scan machines, right? And, and Damon’s catheter, you know, arterial catheter system, right? And then we’ll get to go, uh, device after device will integrate in there. So as you go and you get your blood drawn, get your blood results, that all that will feed into your central wallet. Okay? and the only person that has access to those wallets is you, because you’re the only ones all you have to do to access your wallet. If you, if you, if you set it up in a truly secure way, a non-custodial wallet, you just have to remember 10 little words, right? 10 single syllable words, right? and, and it’s in your head. No one can take that out. No one can steal it from you. Remember, if you remember those 10 words.
[David] Yeah. It’s remembering those 10 words. Sometimes we can be. But yeah, that, so it’s securing that. Yeah. So how does this relate to the device that you have created or that you’re now, that you now own Damon, and how are you doing that? How do you get information into this wallet versus into the public domain? Out of the public domain and keep it from out of the public domain, is what I’m trying to say.
[Damon] Sure. So there, it’s really exciting what we’re able to do now based on new advances in technology. We have an ability, as Pavan alluded to before. To scale down to 0.1 millimeter resolution, full 3D volumetric imagery.
[David] Explain what that means. I mean, we hear that and we’re mortgage bankers. We going, and I could kind of get what you’re talking about, but where is the technology at now and what is it that you’re specifically getting down to because, and then how important is it?
[Damon] So it’s a great question. Currently, the way that CTS and MRI machines have been built is it’s based on slices, right? and how many slices you can, you can pile into that. Process. There are advantages and disadvantages to that. There is a very elegant technology that we call volumetric high definition imaging that instead of taking slices, takes voxels or three dimensional image.
[David] You say what takes what? Voxels.
[Damon] Voxels. Which are essentially three dimensional images, little bits, and images them as a three dimensional object as a whole. And what that means is instead of waiting 30 or 40 minutes sometimes for a rendering, within one minute, we can generate a full 3D image from image to render on the screen. So it’s an incredibly fast, powerful tool.
[David] And at what, and this is what really gets interesting at what level of, um, clarity. I mean, I’m thinking pixelization.
[Damon] Yeah. So it’s, it really, it, the, the best is to, to go to our website, patafina.com and look at some of the images because it’s…
[David] Spell that for us. Spell it for our listeners, if you could.
[Damon] Sure. P-A-T-I-F-I-N-A, patafina.com. So it’s actually much easier a picture. They say a picture is worth a thousand words right? The videos that we can show you about the inside of the body are really astounding because if you’re used to seeing CTs and imaging for MRIs and CTs, most of them have imaging that, that it’s adequate, right? But it requires a specialist to read them. What you’ll see with our images is that the visibility into three dimensions off axis is unparalleled because we image in actual 3D itself. So that’s very exciting because like I say, in one minute we can, we can image a 16 centimeter section of the body and then that section we can within one minute put VR goggles on and take a tour through that part of the body, seeing everything down to the smallest arteries. So it’s w hat a, it’s really science fiction. Yeah. That’s come to reality.
[David] Yeah. That, that means imagining a doctor looking inside you with VR gala. I mean, that just starts bending your, your mind in there. I have a real interest in this because my brother just had a heart valve done. I’m gonna go have a clearly test done, which is made. They say it’s the best way to look at currently. Best way to look at the inner, the valves and the, the heart and how that is to see if I have any, if there’s any blockages and there’s soft and hard plaque, all these things. Does this work in the heart realm, the cardio realm?
[Damon] Yeah. So the, the cardiovascular space has been incredibly successful at identifying plaques obstruction stenosis. This has been a game changer for cardiovascular interventions, so that is a, just a longstanding, well established path toward better health. What’s exciting is that we can now see some of those obstructions at a much smaller level, the vascular structure, not just in the large arteries, but in some of the small structures that were not otherwise visible before. Well, you can imagine as a researcher, that gets exciting because now you can correlate what is early stage onset stenosis versus later stage, and how does that correlate with other kinds of stenosis? So once you can intervene on a smaller scale and you can see what no one else can see, it allows us to have earlier and earlier intervention, which is exciting from a longevity standpoint that.
[Pavan] And if you listen to what Damon said there about how it, how you can establish new correlations right now, imagine, you know, a hundred thousand people, a million people have their medical data on Angel Wallet, right? and how much money would Big Pharma pay do those people to say, give me access to your wallet so I can run an algorithm to look for correlations. Wow. This is like people, so now you’re in a position where you can license your data to the highest bidder and you can have restrict licenses to, I ‘ll let you license my data to do one study, to do this one research.
[David ]So the whole concept of what, what you have pioneered in been doing in the mortgage industry is, you know, putting all the, the data, consuming data, there’s financial data into a wallet. Now you’re talking about expanding that because it’s some, we think our world of mortgages are complicated. You go into the medical world and all of a sudden that it’s, I mean, I can’t even exponentially. Much more sophisticated, much more data that’s in there.
[Pavan] Well, I mean, look, I mean, finance and, and medical at the end of the day is not from an AI perspective’s, not a lot of difference. Number one is privacy, very high privacy, right? And security and number two. You can’t be wrong. Right? So both in order to do any kind of decisioning for medical or for financial if you need a transactional language model.
[David] Is it too late though? Damon, Pavan that because all the data, I mean, I’m 75 years old, I’ve got so much medical stuff out. Is it already out in the public to being to the point where for old guys like me that it’s too late to put it on into a wallet.
[Damon] Well, no, it’s not likely that your, your medical data has been made public. Right. So the good news is that we historically have kept them very siloed. Now’s for lots of reasons.
[David] Hepa, HEPA, I guess is,
[Damon] Yeah, well, that’s right. So the HIPAA rules, the privacy rule. Privacy rule requires that doctors keep your information confidential. But doctors use that and, you know, wisely keep it safeguarded in, in brick and mortar facilities with paper and folders and whatnot. Not to mention on the computers, but they’re very secure by intention. But doctors have an incentive to keep that confidential and with them as opposed to sharing it with you. It’s funny how often it’s hard to get your own images from your own doctor, right? they’ll give you the report, but to get your own images a challenge. Well, we’re working to solve that because ultimately, if I have my own images and I have control of it in my wallet, and I can point that to another AI analysis or another research program, I’m now able to monetize my own data in a special way. So it’s not just from an empowerment standpoint, can I get a second or third or fourth opinion as they become more affordable and more available. But I can send out specific queries into closed systems as opposed to just generally turning the silver into a large language model, which of course would be a terrible answer for privacy of your own health information. Right?
[David] Yeah. Fascinating. Yeah. Pavan, you introduced me to Sri, if you remember and Sri become a good friend. I love the guy and he was telling me how he’s taken his medical records and put it into one of, I think it was Claude, and I think deep thinking, Claude, if I’m, and the recommendations he’s getting out of this thing. This is transforming how we look at medicine and how we’re gonna be dealing with this. The thought that you can monetize. Your data blows my mind.
[Pavan] And actually, it’s not just monetizing your medical data is ex is extremely valuable. And you talked before about how these are siloed in different doctor’s offices and of course the doctors have no incentive and have a counter incentive to share it with you because that keeps you coming back to them, right. So what we recommend is get you in your wallet. We’re gonna, we’re creating these integrations with people like Damon and these, these fascinating new, new medical technologies. So, so systematically the data will start flowing out of doctor’s offices into your wallet that you control and then, and then we’ll say, we’ll encourage you to go to your, your doctors and ask ’em for your records and get those ingested into the angel wallet.
[Damon] So they’re yours, right? You have the right to them. Yeah. Right. So what we’re doing is creating an easy way to pull those in and have full control of your own records.
[Pavan] And then the last step that we’ll create inside Angel AI will be, this is where the financial and the transactional part of this comes in, will be an exchange where given your data, we, we could highlight what kind of data you have in your wallet and put it out to bid for pharma. Pharma, for research organizations for, yeah. Whatever. And they, they can, they can bid on your data and the AI will, will protect you so that the bids are, are limited use licenses.
[David] So you’re turning data into becoming an asset. Then all of a sudden we have equity in our homes, we have an asset of our homes. We now have a new asset category that can sit on our balance sheet.
[Pavan] Exactly and the thing is, big pharma, big tech, all these guys come up with different techniques to get you to give it to them freely. ’cause they know how valuable it is. And they don’t want, they don’t want you to know how valuable it is. They don’t want Mr. And Mrs. Smith on Main Street to know how valuable it is. So they come up with different gimmicks to get you to give away your data for free. Like for example, this 23, right? it was like almost for free, right? I mean, you know, hey, we’re gonna give you your ancestry, you know, your DNA search, whatever, it’s gonna cost you 50 bucks and you know, it cost them way more than 50 bucks to produce it. But what they were getting is they were getting data. They got all of your DNA informationand your blood samples, right? Like, so, right? That was the whole point of 23 and me is to get this massive amount of data from the population. So what we wanna do is we wanna say, Hey, no, stop, no more. We’re not gonna let those things happen anymore. Right?
[David] Can we reclaim that for those of us that have used 20?
[Pavan] I have no idea. I doubt. Yeah, I doubt it. I think, I think the history of that is that they went into bankruptcy and it got reorganized and I think that data ended up inside now what was that company that Peter Deals company. Oh yeah. Deals, you know, you know.
[Damon] You can access your own data from, from these groups, which you still have the right to, and pull them into your own wallet. So even if there’s a subset of information that’s out there, it’s not the complete story, nor is it up to date. I think we think having the most UpToDate comprehensive, complete information, especially that’s available and kept up to UpToDate, is incredibly valuable for the consumer as well as for companies.
[Pavan] I think 23 and Me data ended up inside Palantir.
[David] It did end up inside of Palantir.
[David] I’m pretty sure any of the listeners listening to this can Google and double check around the research well, it’s really interesting because pharmaceutical companies have been spending billions of dollars acquiring, acquiring patient data. That’s a world that you used to live in. Damon, talk about this.
[Damon] Well, so anytime you have a new better insight into the human body, it’s exciting, right? And if you’re able to do that in a way that now. You think about all of these other sort of tech companies that have done phenomenal things, aggregating data for us to take health information and make it accessible and pull not only medical health records, but you know, consumer data. The power of medical data added into the consumer profile is exceedingly powerful. It allows for medical research for not just drugs and devices, but genomics, epigenomics. There are many categories that we get to be a part of. If we’re adequately protecting that information and ensuring it’s not becoming public in some inappropriate way, safeguarding someone’s data becomes crucial and a really important step for us from a research standpoint, which is why we’re so excited about this program.
[David] Yeah, I mean, I’m starting to get insights into this. First of all, it was just fun to meet you ’cause you’re delightful human being, and you and your wife. And then anything that Pavan gets interested in, I pay attention to it. I’d say that for our listeners. I mean, they, you gotta realize, I mean, Pavan and I are preparing another podcast, and he was just blowing my mind. I’m trying to keep up it. I feel like I’m being like the dog that got left on the leash behind the car and the family takes off. I mean, my legs are moving as fast as I can to try to keep up. Pretty soon I’m just gonna be drug around here with a bit, but it’s fascinating. You know, you talk about. Your data creates billions in profits and you should share it as an upside to yourself. I think this is a fascinating concept when we start looking at this. So when you have your new medical device that’s out there, and I know you’re working on many things, but let’s just stay focused on that one for a second. You are saying you can get that device in that medical information inside your wallet, but what does an average consumer then do with that? How does that work practically? When we’re going, we gotta go into the doctor, we gotta get a test done. How does this practically work?
[Damon] Well, it’s, really shocking that in 2025, if you go and get MRI work done, getting the content back from your doctor should be an obvious everyday part of that process and yet we have stories all over America, where people in fact, get a CT wrong. Images, right? Yeah. Well, we don’t even have CTs on our computers anymore that, that especially useful. They’re very large files. They’re hard to see. So there are huge gaps in sort of information sharing, and we’re always chasing our records. If you said, you know, do you happen to have your records from cts and MRIs for the last 10 years? Almost assuredly the answer is no. Now, if you’re part of an incredible health system. Like a cutting edge medical system and you’re a member of a concierge medicine. Sure. Right. It might all be there at your fingertips, but the vision that we have is what if every single person that joins our program has all of their information in the best possible manner, fully accessible in control. If that person, if we could do the same thing for a Honduran Day worker or a rural healthcare healthcare patient in West Virginia? Well, the same exact thing that you would get from one of the top tier teaching institutions, right? The concierge practice medicine. So it really is because of the advances in imaging technology and electronic communications, if we give everyone access to their wallet and we make imaging much more accessible through mobile imaging labs, which is what Patafina is working on. Patafina has its mobile imaging lab where we put this machine not just in brick and mortar facilities, but in trucks and can take it to rural America. We can take it, we can take the technology to the patient. Not require the patient to go to the doctor’s office. It’s a game changer, rural healthcare, and it really is a game changer for the consumer.
[David] Yeah. And what really what you’re ending is the data broker, that economy is broke, is is gonna be over. So if you’re, you’re in the data broker, let’s talk about the healthcare revolution. You started touching on this, this is really going to change healthcare. Forever.
[Damon] You know, I’m exceedingly excited about the moves in longevity, the wellness programs that we have now focused, we’re so focused on things that are highly impactful to the body. The earlier we can detect changes, the better those success stories are gonna be. This is an incredibly important piece of the puzzle. And if you, instead of, instead of finding out much later that somebody has, you know, plaques blocking large arteries. If you had a signal that early on this person was experiencing whatever reason, advanced atherosclerotic plaques or stenosis in an artery, you would treat that person in a much different way before they get to a chronic, a sort of an expensive modality. The earlier we can intervene. The better visibility we can get people to problems, the cheaper they are to fix, the faster they are to fix and the more people we can help. So it’s really from a preventative medicine and intervention standpoint, very exciting to have mobile imaging like this.
[David] It’s very exciting and I definitely have to get. With this recording, I wanna ask you, where can I go to get my imaging done? Because I’m, I’m really wanting to know where my heart is. I’m getting, I just got a gauge. I’m getting remarried, as you know, and I really wanna live long. Now, fiance’s former husband, unfortunately, passed away of a heart attack and was that preventable? Could they seen it with this, this kind of medical devices, you know, could she have avoid, could they have avoided that tragedy of him going on? So, anyway, I look at this, but it’s really, AI makes the data ownership. Much more important Pavan. That’s what kinda gets to the point where the Angel Wallet is. I don’t know of any other wallet that’s working anywhere that’s trying to capture that. Am I mistaken that, I mean, I try to stay up at all of this?
[Pavan] Yeah. I’m not aware either where blockchain and AI have come together the way so, so seamlessly as, as we’ve done it and you know, we talk a lot about AI economy, AI jobs, and so forth, right? People are dancing around the, the subject, but no one’s, no one’s really talking about the real, real issue. And the real issue is data, and the way to make money in the AI economy is controlling and managing your data. Just like the way to make money in an economy was controlling and managing your content, right? Being a content producer. Now, the problem with the web 2.0 world where you were a content producer and then you posted it on Facebook or YouTube or whatever, right? and you got paid for those clicks, right? But you ended up giving away your content to Facebook and YouTube and all these guys, right? Every time you post, they own it. Okay. So Web 3 0, which is basically blockchain driven and AI driven. You own the content is on your wallet. right, and you control it.
[David] Where do we stand in that transition right now? Well, from 2.0 to 3.0.
[Pavan] Well, I think what less than 1% of America has a wallet or something like that Right. So it is a lot of work to be done and there’s a lot of progress happening right now with the Stablecoin bill passed last summer. Yes. And the Clarity Act hopefully will be passed soon. And I like what Eric Trump just said, I don’t, I don’t know if you saw that he came out just attacking guns blazing against Wells Fargo, JP Morgan, and Citi saying, you guys saying are trying to block the Clarity Act because once Americans figure out how much money there’s wasting on you that they don’t need to, and the Clarity Act will expose your cartel, right? right, because think about this. You open a checking account, you put your money in a checking account, and you pay them for that and then you run a, swipe a debit card or swipe a credit card, and then you pay them again for it. Pay them for that. Yeah. For your money. Accessing your own money. Yeah.
[David] That’s what a beautiful block tape. I mean, we’re really talking about an economic revolution that’s going on as well as a major cultural shift. Blend these two together as we’re, and it relates to this conversation, right?
[Pavan] So, you know, with the combination of what’s happening this administration’s, legislations are on, on our side, which is decentralized, which means giving people control of their financial data and their money, right? And so that the banks can charge all these outrageous fees for simple transactions. Okay? So that’s number one. And number two, we combine it and we don’t need any legislation, but we combine it by interfacing Angel Wallet to innovative medical devices like the stuff Damon has. And now you have in one wallet and one AI, you have your financial information and your medical information. Right and think about.
[David] How powerful the most important things that of a human’s life.
[Pavan] Exactly, that’s, you know, like it’s about everything that defines you right there between, your financial transactions is it’s your whole lifestyle and your financial transaction, right? And, and your medical files tells you what’s actually happening to your health. So think about just the research value of the correlation between lifestyle and what impact does the lifestyle have to medical, you know, but markers and things like that.
[David] So for the first time, some of the things are coming clear
[Damon] It is really an amazing time. We have now an ability to pull together information. Think about this. If every single person had universal access to imaging early. Then National Health Services all across the world would have a much better finger on the pulse of what to do for their people than they have now. Right now, just getting people to a facility to get an image is a challenge. But if we can create a lower bar where people have more access to imaging and those people are in control of their own health information as opposed to relying on some bureaucrat to do so, no one cares about your health as much as you do and empowering people is part of the secret to that.
[David] Yeah, it’s so fascinating. So what’s the big question for the future as we wrap this up today? I mean, what are the questions that we should be asking? What are the things, how do we take this and turn this into something that we can start utilizing day to day?
[Pavan] Well, I think in the five years from now, or income your life. 30% of your income will be from your day job and 70% will be from you trading literally day trading your data.
[David] Day trading your data. That wraps my mind. Amazing. And you’re, you own it though. When you’re trading it.
[Pavan] You’re trading a license to your data, right? right and with the AI in place, it’ll put the safeguards in there so that you don’t sell it. Give it away.
[David] Yeah. You’re not selling data, you’re giving access to it. Right. Which is, I mean,
[Pavan] Limited, strict, limited licenses to your data. So one researcher or one research project, one time use data, single use.
[Damon] Yeah. So Pavon, I don’t know that everyone fully understands transactional versus large language models. It’s the transactional system that Pavan made angel AI built that empowered that makes this possible. That’s why for healthcare and consumer information, the transactional language models, we think is the…
[David] This is just such a new, big topic, we gotta keep on top of what’s going on. Please, I want have the both of you back as you continue as we make progress in this, but a lot of the time. I get calls from, you know, all my listeners say, Dave, why are you paying so much attention to this? Hopefully our listeners are getting some insights why I am invested as much of my time and energy with this podcast to share this kind of information. We’re at a major turning point. What an exciting conversation.
[Pavan] Another projection prediction I have in five years on the Fannie Mae 1003 form. Yes. One of the asset lines will be value of your data. It’s like 401k and life insurance. It’ll be data value.
[David] The world, Damon, that you’ve been living in is going through, I mean all the inter, I mean, our whole world’s going through a massive transition, but I’m not sure anything’s going through it as much as healthcare and the pharmaceutical and all of what we’re talking about here. Wrap it up with your, where you see us going in the future. What’s your vision?
[Damon] Well, I think Pavan is spot on in terms, he has a better finger on the pulse of the data broker than I do. I could tell you that in healthcare, things are changing rapidly and if we have an ability to better intervene sooner and create better access for people in a low cost way, it’s gonna change the world. And that’s what we’re all about.
[David] Yeah, that’s what I love about you guys. Every time I get around and meet more people from Dorado and your community there, you guys seem to be all in on that. It’s just such a delight to have met you, Damon. Thank you Pavan, for making that possible. Meaning Katrina and, and I gotta tell you listeners, we gotta get Katrina on here sometime talking about She’s a absolutely, she’s a lot smart. She’s a marketing genius. And it’s so good now that just wonderful people. Thanks so much for being here, gentlemen. We’re gonna continue this conversation. I just gotta digest all that we just heard today.
[Damon] Thanks so much.
[Pavan] Thanks, David. Cheers.
